Divergence and Deformed Exponential Family

Fuente: arXiv
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Main Authors: Matsuzoe, Hiroshi, Takatsu, Asuka
Format: Preprint
Published: 2025
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_version_ 1866911338865885184
author Matsuzoe, Hiroshi
Takatsu, Asuka
author_facet Matsuzoe, Hiroshi
Takatsu, Asuka
contents The Kullback--Leibler divergence together with exponential families establishes the foundation of information geometry and is widely generalized. Among the generalization, we focus on the $(h,τ)$-divergence and $(h,τ)$-exponential families. We present a sufficient condition for the $(h,τ)$-divergence to induce a Hessian structure on an $(h,τ)$-exponential family. We also define the $(h,τ)$-dependence of random variables and prove a kind of the law of large numbers.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21532
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Divergence and Deformed Exponential Family
Matsuzoe, Hiroshi
Takatsu, Asuka
Differential Geometry
Probability
53B12, 62B11
The Kullback--Leibler divergence together with exponential families establishes the foundation of information geometry and is widely generalized. Among the generalization, we focus on the $(h,τ)$-divergence and $(h,τ)$-exponential families. We present a sufficient condition for the $(h,τ)$-divergence to induce a Hessian structure on an $(h,τ)$-exponential family. We also define the $(h,τ)$-dependence of random variables and prove a kind of the law of large numbers.
title Divergence and Deformed Exponential Family
topic Differential Geometry
Probability
53B12, 62B11
url https://arxiv.org/abs/2512.21532